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  1. Structure and Implementation of Agentic Programs
    Structure and Implementation of Agentic Programs
    A Practical Guide to Building Intelligent LLM Applications with Python
    Guillaume Saupin

    Stop building brittle LLM wrappers and start engineering production-grade autonomous agent networks.This hands-on guide takes you from fundamental Transformer mechanics to orchestrating multi-agent architectures under Kubernetes with Python. Step beyond basic prototypes to master graph-based orchestration, grammar-constrained outputs, LoRA fine-tuning, RAG, and MCP. Learn to navigate critical production trade-offs—model routing, quantization, cost control, prompt injection security, and human-in-the-loop monitoring—to deploy resilient, enterprise-ready AI systems.

  2. Magic Tricks. The End of History
    Magic Tricks. The End of History
    A Monographic Philosophical Inquiry
    Bieliaiev Serhii

    "...magician knows magic only on its practical side... to him magic is always an art... It is for the philosophic student to trace the train of thought which underlies the magician’s practice..." - Frazer J. G., The Golden Bough

  3. Antigravity 2.0 The Complete Guide

    Stop copying code snippets into chat widgets. Master closed-loop autonomous AI coding agents, local offline LLMs (Ollama/Llama 3.1), event-driven lifecycle hooks, and Model Context Protocol (MCP) runtimes.

  4. Modern Computer Science
    Modern Computer Science
    Foundations, Artificial Intelligence, Emerging Technologies, Responsible Computing, and the Future of Computing
    Thanakit Ouanhlee

    Explore the foundations and future of modern computing—from artificial intelligence and distributed systems to cybersecurity, quantum technologies, and responsible computing. Modern Computer Science connects essential concepts with emerging technologies, real-world applications, and the challenges shaping the future of the discipline.

  5. Product Development in AI Era
    Product Development in AI Era
    Building Adaptive Hardware Products in the Age of AI Transformation
    Maarit Laanti

    AI doesn't fix a broken product development process — it amplifies whatever process you give it. Drawing on two decades of hardware leadership, this book is a field guide to making that amplification work in your favor, not against you.

  6. The Upanishad of Infinite Egolessness

    Journey beyond the boundaries of the self, spiritual realization, and the infinite. Through twenty-four profound Sanskrit mantras and poetic English verses, this text systematically dismantles the illusions of duality to reveal the ultimate silence of pure existence. Surrender the spiritual search entirely and step into the effortless, unnamable void of infinite egolessness.

  7. 认知长青:AI时代的成长心法
    认知长青:AI时代的成长心法
    让每一次学习,都变成资产
    kejia shao

    当"会做"被 AI 打到地板价,"想得清"成了最贵的资产。这本书给你一张表、一个循环、一份九十天清单。

  8. Self-Hosted Development Infrastructure
    Self-Hosted Development Infrastructure
    Building Your Own Git Hosting, CI/CD, and Software Engineering Platform from the Ground Up
    Steve Publications

    Take control of your development stack from the ground up. This book shows you how to build and run your own Git hosting, CI/CD and engineering platform, from a single server to infrastructure built for thousands. Learn how the pieces fit together, why key decisions matter and where the trade-offs really are.

  9. javascript step S
    javascript step S
    From Beginner to Advanced — Learn JavaScript and Build Real Projects
    fedi yahiyaoui

    Learn JavaScript from the fundamentals to advanced concepts through clear explanations, practical examples, exercises, and real-world projects. Build your skills step by step and turn your ideas into working applications.

  10. Building Low-Latency LLM Infrastructure
    Building Low-Latency LLM Infrastructure
    From Fundamentals to Production-Grade Systems
    Steve Publications

    Building fast LLM systems takes more than a powerful GPU. This book shows you what actually happens between prompt and response, where latency hides and how to fix it. Work from kernels and inference engines to distributed clusters, benchmarking and production reliability, with practical guidance for building systems that stay fast under real-world load.

  11. Mastering LTX 2.5 Prompting
    Mastering LTX 2.5 Prompting
    From First Frame to Cinematic Mastery: A Complete Guide to Video Generation with LTX 2.5
    Steve Publications

    Master LTX 2.5 from the first prompt to the final shot. Learn to create cinematic video with synchronized audio, precise camera movement and consistent characters while avoiding the mistakes that waste time and generations. Built on official documentation and verified behavior, this is a practical guide to getting production-ready results from LTX 2.5.

  12. Autonomous AI Red Teaming & Swarm Intelligence
    Autonomous AI Red Teaming & Swarm Intelligence
    Building LLM-Powered Security Assessment Frameworks with Python
    Muhammad Ahmad Ejaz

    Master applied offensive AI automation! Learn to design, code, harden, and deploy 24/7 continuous autonomous AI red teaming swarms using Python 3.10+, Playwright, hybrid LLM triage (Gemini & Ollama), OAST interaction verification, and Burp Suite Pro extensions.

  13. EMPIRE OF CONTRADICTION

    Is the American era over? Explore the high cost of diplomatic hypocrisy and the rise of a multipolar world in this searing 2026 geopolitical analysis.

  14. ROY-OS² — Agentic AI⁠
    ROY-OS² — Agentic AI⁠
    Building Intelligent, Autonomous AI Systems⁠
    Roy Nasr

    Move from using AI to building intelligent AI systems. ROY-OS² — Handbook 2: Agentic AI introduces the architecture, tools, workflows, memory, knowledge, MCP, multi-agent coordination, governance, and production principles required to build operational AI systems.

  15. SIMD Programming for Modern Software Engineers
    SIMD Programming for Modern Software Engineers
    From Fundamentals to Advanced Optimization
    Steve Publications

    SIMD can make software dramatically faster, but getting it right takes more than knowing a few intrinsics. This book shows you how vectorization really works, how to avoid costly mistakes and how to turn ordinary code into fast, production-ready software with techniques you can use again and again.